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This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using vicgalle/Configurable-Llama-3.1-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
- rityak/L3.1-FormaxGradient
- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 + grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- DreadPoor/Heart_Stolen-8B-Model_Stock
Configuration
The following YAML configuration was used to produce this model:
models:
- model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- model: DreadPoor/Heart_Stolen-8B-Model_Stock
- model: rityak/L3.1-FormaxGradient
merge_method: model_stock
base_model: vicgalle/Configurable-Llama-3.1-8B-Instruct
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 28.00 |
| IFEval (0-Shot) | 78.13 |
| BBH (3-Shot) | 31.39 |
| MATH Lvl 5 (4-Shot) | 12.92 |
| GPQA (0-shot) | 5.48 |
| MuSR (0-shot) | 9.66 |
| MMLU-PRO (5-shot) | 30.39 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard78.130
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard31.390
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard12.920
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.480
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.660
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard30.390